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Veeam

Revenue Intelligence Operations Analyst, Marketing

Reposted 7 Days Ago
Remote
Hiring Remotely in United States
74K-122K Annually
Entry level
Remote
Hiring Remotely in United States
74K-122K Annually
Entry level
Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

Revenue Intelligence Operations Analyst, Marketing

About This Role

This role offers the opportunity to work hands-on with large-scale marketing and customer datasets while building a strong foundation in data and marketing analytics. You will receive mentorship and development in SQL, Python, Databricks, and modern analytics tools, while gaining exposure to cloud-based analytics and data engineering practices. This is an excellent opportunity for an early-career analyst looking to develop technical expertise, AI fluency, and business acumen in a collaborative, data-driven environment.
 
***Must be located in Central or Eastern Time Zone***

What You'll Do

Data Analysis & Insights

  • Analyze marketing performance data to identify trends, performance drivers, and optimization opportunities.
  • Evaluate customer acquisition, engagement, and conversion metrics to support marketing decision-making.
  • Design and implement scalable lead ingestion solutions using AI-driven data parsing, validation, enrichment, and automation techniques.
  • Translate complex data into clear insights and recommendations for stakeholders.
  • Support ad-hoc analysis and proactively identify opportunities for deeper insights.

Technical & Data Development

  • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data.
  • Use Python for data preparation, automation, and analysis
  • Assist with building and maintaining curated datasets, data models, and data quality checks
  • Utilize AI-assisted development tools, including Claude Code, to build interfaces, agents, and workflow automations.

Reporting & Collaboration

  • Develop and maintain dashboards and marketing performance reports using BI tools.
  • Automate recurring reporting processes to improve efficiency and scalability.
  • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs.
  • Document data definitions, logic, and reporting methodologies.

What You'll Bring

Technical Skills

  • Strong working knowledge of SQL, including joins, aggregations, and data transformations.
  • Basic to intermediate proficiency in Python with experience using data libraries (e.g., pandas, NumPy) through coursework, projects, or internships.
  • Exposure to Databricks, Apache Spark, or cloud-based data environments.
  • Experience working with real-world datasets and performing data validation and troubleshooting.

Professional Skills

  • Strong curiosity and willingness to learn.
  • Strong analytical and problem-solving abilities with attention to detail.
  • Ability to communicate technical findings to non-technical audiences.
  • Ability to manage multiple priorities and collaborate effectively across teams.

Education & Experience

  • Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field.
  • Internship, academic project, or research experience involving data analysis is strongly preferred.

Nice to Have

  • Experience with Tableau, Power BI, or similar visualization tools
  • Familiarity with marketing analytics concepts or campaign performance metrics
  • Exposure to marketing platforms such as Google Analytics or Salesforce
  • Experience using version control tools (e.g., Git)
  • Understanding of ETL or data pipeline concepts

#LI-TI1


What you'll get

  • Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage starting on your first day
  • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
  • 401(k) retirement plan with company matching contributions
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • AirVet: 24/7 virtual veterinary care at no cost
  • Legal services, identity protection, and supplemental health insurance options
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

U.S. Geographic Zones & Compensation Ranges (TTC / OTE)
Zone 1: San Francisco Bay Area, New York City Boroughs
$73,500$122,400 USD
Zone 2: Washington, California (excluding San Francisco Bay Area)
$67,400$112,300 USD
Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona
$61,200$102,000 USD
Zone 4: All other US locations
$53,300$88,800 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. 

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

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